Is there a simple way to check for a value within a dataframe when it could possibly be in a variety of columns? Whether using iterrow and searching each row for the value and finding which column it is in or just checking the dataframe as a whole and getting its position like iat coords.
Python Pandas find value in dataframe regardless of column
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2 Answers
You can search the value in dataframe and get the Boolean dataframe for your search. It gives you all equalities of var1 in df.
df[df.eq(var1).any(1)]
import pandas as pd
d = {'id': [1, 2, 3], 'col2': [3, 4, 5], 'col3': [8,3,9]}
df = pd.DataFrame(data=d)
df = df.set_index('id')
df
Sample Data
col2 col3
id
1 3 8
2 4 3
3 5 9
Find 3
df.isin([3]).any()
Output Column:
col2 True
col3 True
dtype: bool
Want more detals? Here you go:
df[df.isin([3])].stack().index.tolist()
Co-ordinates output:
[(1, 'col2'), (2, 'col3')]
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